berry enjoyer

berry enjoyer — CS2 Stats

76561198376324501[U:1:416058773]Steam profile ↗✓ No bans

295Tracked matches55%Win rate2026Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating16,205Purple band · top ~23.6% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 16,205 → 16,205
+2Tracked matches · now 295
0.0ppWin rate · 55.2% → 55.2%

Rating over time

Premier CS Rating: 16,205 +9,694 6 Jul – 23 Sept · 26 days played
6,51119,283peak 19,2836 Jul23 Sept
19,999Peak Premier in tracked matches
41Days played since 2026-06-24

Premier CS Rating

  • 3,078 below peak (19,283)
  • -3,039 over 30 days · declining
  • +9,694 over 90 days
  • Next: Pink band at 20,000 — 3,795 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-23
  • Blue band first seen 2026-09-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGberry enjoyerPREMIER16,205 · Purple bandcsdb.gg/stats

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Performance scores

Aim72
Positioning63
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY57–40–3Last 10057%Win rateWWLWWLLLLT

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −4.2pp headshot accuracy · +83ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 663ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 635ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 593ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.5 against its own average).

Aim7.2
Utility3.8
Positioning6.3
Opening Duels5.1
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.2
Positioning6.3
Utility3.8
Mechanics7.2
Opening Duels4.5
Win Impact6.7

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time537ms−76ms
first ⅓ avg 613ms → last ⅓ avg 537ms
Headshot accuracy20.3%+0.7%
first ⅓ avg 19.6% → last ⅓ avg 20.3%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.17Best match rating · 13–6 · office, 29 Aug →
100%Best headshot accuracy · 13–1 · vertigo, 26 Aug →
328msFastest reaction time · 9–13 · mirage, 27 Aug →
13–1Biggest win · nuke, 27 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
7–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 77% over 13anubisWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageS2014–670%-0.02
cacheS1611–569%0.03
nukeS1310–377%0.01
infernoB126–650%0.04
dust2D93–633%-0.01
anubisD91–811%0.02
ancientS96–367%0.01
office—43–175%0.06
boulder—21–150%0.01
vertigo—21–150%-0.00
fachwerk—10–10%-0.07
poseidon—11–0100%0.03
alpine—10–10%-0.08
train—10–10%-0.11

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

40Matches
48%Win rate
0.71Avg K/D
64.9ADR
49%Headshot %

Clutches & streaks

18%1v1 clutch win
24%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1656%0.6310.0
Dust2743%0.6712.1
Nuke540%0.8512.8
Cache425%0.6311.0
Overpass333%0.5910.0
Anubis3100%1.0811.3
Ancient10%0.6215.0
Inferno10%1.0022.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.1%Headshot accuracy
32.8%Accuracy (enemy spotted)
29.3%Spray accuracy
82.2%Counter-strafing
9.1°Preaim
537msReaction time
43.0%T opening success
53.1%CT opening success
0.64Enemies flashed / flash
3.4%Flash assists
7.78HE damage / grenade
5.39Flashes / match

Recommended for you

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–60.0411%30 Sept →
nuke13–8-0.0319%27 Sept →
mirage6–13-0.1010%22 Sept →
mirage13–2-0.039%22 Sept →
nuke13–2-0.0410%22 Sept →
mirage11–130.009%21 Sept →
cache9–130.0221%18 Sept →
cache1–13-0.0211%12 Sept →
nuke8–13-0.0120%6 Sept →
boulder12–120.0122%4 Sept →
mirage11–13-0.0010%4 Sept →
office7–13-0.0916%1 Sept →
mirage13–6-0.064%31 Aug →
office13–30.0517%31 Aug →
cache13–70.0818%29 Aug →
office13–60.1727%29 Aug →
boulder13–9-0.0020%28 Aug →
office13–20.1225%28 Aug →
dust23–11-0.0636%28 Aug →
dust24–50.029%27 Aug →
nuke13–10.0132%27 Aug →
mirage9–13-0.0232%27 Aug →
dust213–5-0.0428%27 Aug →
vertigo13–1-0.01100%26 Aug →
inferno8–130.0115%25 Aug →
cache10–130.0821%24 Aug →
dust214–16-0.0025%24 Aug →
anubis13–100.1419%24 Aug →
ancient13–7-0.0016%24 Aug →
ancient13–110.0510%24 Aug →
ancient13–100.0520%21 Aug →
inferno6–90.0417%21 Aug →
inferno8–80.0711%21 Aug →
inferno9–30.1120%21 Aug →
mirage13–11-0.0411%21 Aug →
inferno5–6-0.0022%20 Aug →
dust213–40.0123%20 Aug →
mirage13–8-0.0113%20 Aug →
mirage13–30.0423%20 Aug →
nuke5–13-0.0517%18 Aug →
nuke13–60.0629%17 Aug →
cache13–60.0917%17 Aug →
ancient10–130.0433%16 Aug →
fachwerk9–13-0.0720%16 Aug →
cache13–16-0.0610%12 Aug →
nuke0–2-0.080%11 Aug →
ancient3–9-0.0717%10 Aug →
anubis7–13-0.0423%9 Aug →
ancient13–90.0129%9 Aug →
mirage10–130.0418%7 Aug →
nuke13–50.0432%7 Aug →
cache5–130.0820%7 Aug →
anubis11–130.0911%7 Aug →
nuke16–140.0419%7 Aug →
anubis6–13-0.017%7 Aug →
inferno13–90.0321%6 Aug →
dust213–9-0.0224%6 Aug →
ancient10–13-0.0713%6 Aug →
nuke13–70.1423%5 Aug →
cache13–30.0926%5 Aug →
inferno3–130.0122%5 Aug →
mirage13–6-0.0334%5 Aug →
mirage13–11-0.0310%5 Aug →
mirage16–13-0.049%4 Aug →
cache13–110.1018%4 Aug →
mirage13–5-0.0510%4 Aug →
ancient13–70.0617%3 Aug →
anubis11–130.0115%3 Aug →
dust24–130.0315%3 Aug →
anubis8–130.0431%2 Aug →
ancient13–60.0218%2 Aug →
nuke13–5-0.077%2 Aug →
vertigo6–130.0118%29 Jul →
anubis9–130.0117%20 Jul →
cache13–11-0.0422%20 Jul →
inferno7–9-0.1419%20 Jul →
anubis15–15-0.0128%20 Jul →
inferno13–60.1122%17 Jul →
inferno9–30.0413%17 Jul →
poseidon9–70.0319%17 Jul →
inferno9–30.1321%17 Jul →
nuke13–20.0817%16 Jul →
cache13–40.1618%16 Jul →
nuke13–60.0832%16 Jul →
mirage13–9-0.0221%16 Jul →
dust28–13-0.0223%13 Jul →
cache13–9-0.0220%13 Jul →
mirage13–4-0.0223%13 Jul →
mirage13–6-0.0515%13 Jul →
mirage13–40.1127%12 Jul →
inferno13–70.0315%12 Jul →
cache13–50.0426%12 Jul →
dust26–110.0221%9 Jul →
alpine3–13-0.0810%7 Jul →
cache13–2-0.0321%7 Jul →
train7–13-0.1122%7 Jul →
mirage7–13-0.0819%6 Jul →
cache13–6-0.0415%6 Jul →
anubis9–13-0.0421%6 Jul →
cache13–8-0.0614%24 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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